0. Websites you may like/[CourseClub.Me].url
48B
0. Websites you may like/[DesireCourse.Net].url
51B
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4
146.28MB
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1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..srt
26.42KB
1. Introduction/2. Course Curriculum & Colab Toolkit.html
464B
1. Introduction/3. BONUS 10 advantages of TensorFlow.html
613B
1. Introduction/4. BONUS Learning Path.html
1.37KB
1. Introduction/[CourseClub.Me].url
48B
1. Introduction/[DesireCourse.Net].url
51B
10. Dataset Preprocessing with TensorFlow Transform (TFT)/1. Project Setup.mp4
10.06MB
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10. Dataset Preprocessing with TensorFlow Transform (TFT)/1. Project Setup.srt
2.75KB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/1.1 Google Colab TFT.html
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10. Dataset Preprocessing with TensorFlow Transform (TFT)/1.2 pollution_small.csv
72.71KB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/2. Initial dataset preprocessing.mp4
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10. Dataset Preprocessing with TensorFlow Transform (TFT)/3. Dataset metadata.mp4
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10. Dataset Preprocessing with TensorFlow Transform (TFT)/4. Preprocessing function.mp4
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10. Dataset Preprocessing with TensorFlow Transform (TFT)/5. Dataset preprocessing pipeline.mp4
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10. Dataset Preprocessing with TensorFlow Transform (TFT)/5. Dataset preprocessing pipeline.srt
10.65KB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/6. What's next.html
2.08KB
11. Fashion API with Flask and TensorFlow 2.0/1. Project Setup.mp4
36.74MB
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11. Fashion API with Flask and TensorFlow 2.0/1. Project Setup.srt
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11. Fashion API with Flask and TensorFlow 2.0/1.1 Flask API.zip
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11. Fashion API with Flask and TensorFlow 2.0/2. Importing project dependencies.mp4
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11. Fashion API with Flask and TensorFlow 2.0/2. Importing project dependencies.srt
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11. Fashion API with Flask and TensorFlow 2.0/3. Loading a pre-trained model.mp4
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11. Fashion API with Flask and TensorFlow 2.0/3. Loading a pre-trained model.srt
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11. Fashion API with Flask and TensorFlow 2.0/4. Defining the Flask application.mp4
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11. Fashion API with Flask and TensorFlow 2.0/4. Defining the Flask application.srt
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11. Fashion API with Flask and TensorFlow 2.0/5. Creating classify function.mp4
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11. Fashion API with Flask and TensorFlow 2.0/5. Creating classify function.srt
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11. Fashion API with Flask and TensorFlow 2.0/6. Starting the Flask application.mp4
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11. Fashion API with Flask and TensorFlow 2.0/6. Starting the Flask application.srt
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11. Fashion API with Flask and TensorFlow 2.0/7. Sending API requests over internet to the model.mp4
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11. Fashion API with Flask and TensorFlow 2.0/7. Sending API requests over internet to the model.srt
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12. Image Classification API with TensorFlow Serving/1. What is the TensorFlow Serving.mp4
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12. Image Classification API with TensorFlow Serving/10. Sending the POST request to a specific model.mp4
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12. Image Classification API with TensorFlow Serving/2. TensorFlow Serving architecture.mp4
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12. Image Classification API with TensorFlow Serving/3. Project setup.mp4
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14. Distributed Training with TensorFlow 2.0/3. Dataset preprocessing.srt
5.48KB
14. Distributed Training with TensorFlow 2.0/4. Defining a non-distributed model (normal CNN model).mp4
14.05MB
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14. Distributed Training with TensorFlow 2.0/4. Defining a non-distributed model (normal CNN model).srt
3.68KB
14. Distributed Training with TensorFlow 2.0/5. Setting up a distributed strategy.mp4
7.39MB
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14. Distributed Training with TensorFlow 2.0/5. Setting up a distributed strategy.srt
2.26KB
14. Distributed Training with TensorFlow 2.0/6. Defining a distributed model.mp4
12.49MB
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14. Distributed Training with TensorFlow 2.0/6. Defining a distributed model.srt
2.37KB
14. Distributed Training with TensorFlow 2.0/7. Final evaluation - Speed test normal model vs distributed model.mp4
28.41MB
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14. Distributed Training with TensorFlow 2.0/7. Final evaluation - Speed test normal model vs distributed model.srt
4.37KB
14. Distributed Training with TensorFlow 2.0/[CourseClub.Me].url
48B
14. Distributed Training with TensorFlow 2.0/[DesireCourse.Net].url
51B
15. Annex 1 - Artificial Neural Networks Theory/1. Plan of Attack.mp4
11.84MB
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15. Annex 1 - Artificial Neural Networks Theory/1. Plan of Attack.srt
4.03KB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4
98.68MB
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15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.srt
24.96KB
15. Annex 1 - Artificial Neural Networks Theory/3. The Activation Function.mp4
45.33MB
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15. Annex 1 - Artificial Neural Networks Theory/3. The Activation Function.srt
12.04KB
15. Annex 1 - Artificial Neural Networks Theory/4. How do Neural Networks Work.mp4
81.8MB
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15. Annex 1 - Artificial Neural Networks Theory/4. How do Neural Networks Work.srt
19.03KB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4
112.15MB
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15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.srt
19.17KB
15. Annex 1 - Artificial Neural Networks Theory/6. Gradient Descent.mp4
60.56MB
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15. Annex 1 - Artificial Neural Networks Theory/6. Gradient Descent.srt
14.04KB
15. Annex 1 - Artificial Neural Networks Theory/7. Stochastic Gradient Descent.mp4
67.25MB
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15. Annex 1 - Artificial Neural Networks Theory/7. Stochastic Gradient Descent.srt
12.27KB
15. Annex 1 - Artificial Neural Networks Theory/8. Backpropagation.mp4
43.13MB
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15. Annex 1 - Artificial Neural Networks Theory/8. Backpropagation.srt
7.28KB
16. Annex 2 - Convolutional Neural Networks Theory/1. Plan of Attack.mp4
15.78MB
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16. Annex 2 - Convolutional Neural Networks Theory/1. Plan of Attack.srt
5.42KB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4
107.87MB
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16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.srt
22.11KB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4
97.84MB
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16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.srt
23.34KB
16. Annex 2 - Convolutional Neural Networks Theory/4. Step 1 Bis - ReLU Layer.mp4
53.36MB
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16. Annex 2 - Convolutional Neural Networks Theory/4. Step 1 Bis - ReLU Layer.srt
9.7KB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4
140.2MB
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16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.srt
20.95KB
16. Annex 2 - Convolutional Neural Networks Theory/6. Step 3 - Flattening.mp4
7.92MB
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2.67KB
16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4
194.15MB
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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.srt
28.56KB
16. Annex 2 - Convolutional Neural Networks Theory/8. Summary.mp4
30.33MB
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16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4
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25.66KB
17. Annex 3 - Recurrent Neural Networks Theory/1. Plan of Attack.mp4
10.48MB
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3.53KB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4
120.94MB
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17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.srt
24.3KB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4
110.99MB
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20.54KB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4
136.42MB
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17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.srt
28.17KB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4
187.42MB
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17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.srt
21.03KB
17. Annex 3 - Recurrent Neural Networks Theory/6. LSTM Variations.mp4
20.13MB
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17. Annex 3 - Recurrent Neural Networks Theory/6. LSTM Variations.srt
4.59KB
18. Bonus Lectures/1. SPECIAL COVID-19 BONUS.html
722B
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1.15KB
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2.32KB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4
114.79MB
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16.54KB
2. TensorFlow 2.0 Basics/1.1 Google Colab TensorFlow 1.x to TensorFlow 2.0.html
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6. Transfer Learning and Fine Tuning/4. Loading the MobileNet V2 model.mp4
17.83MB
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3.85KB
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6. Transfer Learning and Fine Tuning/7. Defining the transfer learning model.mp4
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6. Transfer Learning and Fine Tuning/8. Compiling the Transfer Learning model.mp4
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6. Transfer Learning and Fine Tuning/9. Image Data Generators.mp4
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7. Deep Reinforcement Learning Theory/1. What is Reinforcement Learning.mp4
68.54MB
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18.22KB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4
95.05MB
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7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4
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7. Deep Reinforcement Learning Theory/4. Q-Learning Intuition.mp4
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21.72KB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4
97.1MB
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7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4
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7. Deep Reinforcement Learning Theory/7. Deep Q-Learning Intuition - Step 2.mp4
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7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4
114.73MB
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7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4
136.84MB
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24.03KB
7. Deep Reinforcement Learning Theory/[CourseClub.Me].url
48B
7. Deep Reinforcement Learning Theory/[DesireCourse.Net].url
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8. Deep Reinforcement Learning for Stock Market trading/1. Project Setup.mp4
11.89MB
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8. Deep Reinforcement Learning for Stock Market trading/1. Project Setup.srt
2.9KB
8. Deep Reinforcement Learning for Stock Market trading/1.1 Google Colab Deep-Q Trading Bot.html
134B
8. Deep Reinforcement Learning for Stock Market trading/10. Defining the model.mp4
11.86MB
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8. Deep Reinforcement Learning for Stock Market trading/11. Training loop - Step 1.mp4
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9. Data Validation with TensorFlow Data Validation (TFDV)/7. Saving the Schema.mp4
8.09MB
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9. Data Validation with TensorFlow Data Validation (TFDV)/7. Saving the Schema.srt
1.83KB
9. Data Validation with TensorFlow Data Validation (TFDV)/8. What's next.html
2KB
[DesireCourse.Net].url
51B